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Pytorch implementation for "You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example" (CoRL 2022)

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You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example

CODE COMING SOON

This repository contains the official Pytorch implementation for the paper "You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example", published at CoRL 2022 [axiv link coming soon].

Citation

If you use this code in your research, please consider citing our paper:

@InProceedings{goodwin2022,
    author  = {Walter Goodwin and Ioannis Havoutis and Ingmar Posner},
    title   = {You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example},
    booktitle = {Conference on Robot Learning (CoRL)},
    year    = {2022},
  }

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Pytorch implementation for "You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example" (CoRL 2022)

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